Real-time alerting system

ABSTRACT

Real-time alerting system comprises a processor that receives from client devices user activity data associated with interactions by users with a website displayed on client devices. Website comprises webpages displayed during sessions. Processor identifies based on the user activity data, user experience indicators and identifies based on the user experience indicators an error on the website. Processor generates, based on the user experience indicators or the error on the website, an insight associated with the website. Processor causes a real-time alert to be displayed on display device. Real-time alert comprises the error or the insight and a selectable item to cause a visualization of interactions by one of the users with the website during one of the sessions associated with the error or the insight to be displayed. Visualization of interactions is generated based on the user activity data. Other embodiments are disclosed herein.

CLAIM OF PRIORITY

This Application claims the benefit of priority of U.S. ProvisionalApplication Ser. No. 63/369,754, filed Jul. 28, 2022, which is herebyincorporated by reference in its entirety.

BACKGROUND

Electronic commerce (e-commerce) facilitates trillions of dollars intransactions yearly. Using their personal electronic devices, users canquickly and easily access a business' website or mobile application topurchase goods or services directly from the business.

It is imperative to understand the online customers' digital behaviorsand gather insights therefrom. For example, the digital behaviors caninclude the navigational patterns of the user to the website or withinthe website as well as interactions with the elements displayed on thewebsite. Improving the online customers' digital experience on thewebsite will directly leads to increased sales and revenue growth fromwebsite or mobile application.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

In the drawings, which are not necessarily drawn to scale, like numeralsmay describe similar components in different views. To easily identifythe discussion of any particular element or act, the most significantdigit or digits in a reference number refer to the figure number inwhich that element is first introduced. Some non-limiting examples areillustrated in the figures of the accompanying drawings in which:

FIG. 1 is a diagrammatic representation of a networked environment inwhich the present disclosure may be deployed, in accordance with someexamples.

FIG. 2 is a diagrammatic representation of an experience analyticssystem, in accordance with some examples, that has both client-side andserver-side functionality.

FIG. 3 is a diagrammatic representation of a data structure asmaintained in a database, in accordance with some examples.

FIG. 4 is a flowchart for a process 400 of generating real-time alerts,in accordance with some examples.

FIG. 5 is a diagrammatic representation of a machine in the form of acomputer system within which a set of instructions may be executed forcausing the machine to perform any one or more of the methodologiesdiscussed herein, in accordance with some examples.

FIG. 6 is a block diagram showing a software architecture within whichexamples may be implemented.

DETAILED DESCRIPTION

To understand the online customers' digital behaviors, the onlinecustomer's digital interactions on the webpage needs to be tracked andanalyzed. Among other things, embodiments of the present disclosureimprove the functionality of digital experience tracking systems bygenerating real-time alerts related to errors or insights identifiedwith respect to the business' website. The real-time alerts can provideinformation on the errors or the insights, recommendations on how toresolve the errors, links to session replays to allow the business toreview a user's interaction with the website that encountered the error,etc. By providing alerts in real-time, a business can quickly identifythe specific causes of friction or frustration within their website thatare affecting the customers' user experience and ultimately, costing thebusiness loss of revenue.

Networked Computing Environment

FIG. 1 is a block diagram showing an example experience analytics system100 that analyzes and quantifies the user experience of users navigatinga client's website, mobile websites, and applications. The experienceanalytics system 100 can include multiple instances of a member clientdevice 102, multiple instances of a customer client device 106, andmultiple instances of a third-party server 108.

The member client device 102 is associated with a client of theexperience analytics system 100, where the client that has a websitehosted on the client's third-party server 108. For example, the clientcan be a retail store that has an online retail website that is hostedon a third-party server 108. An agent of the client (e.g., a webadministrator, an employee, etc.) can be the user of the member clientdevice 102.

Each of the member client devices 102 hosts a number of applications,including an experience analytics client 104. Each experience analyticsclient 104 is communicatively coupled with an experience analyticsserver system 124 and third-party servers 108 via a network 110 (e.g.,the Internet). An experience analytics client 104 can also communicatewith locally-hosted applications using Applications Program Interfaces(APIs).

The member client devices 102 and the customer client devices 106 canalso host a number of applications including Internet browsingapplications (e.g., Chrome, Safari, etc.). The experience analyticsclient 104 can also be implemented as a platform that is accessed by themember client device 102 via an Internet browsing application orimplemented as an extension on the Internet browsing application.

Users of the customer client device 106 can access client's websitesthat are hosted on the third-party servers 108 via the network 110 usingthe Internet browsing applications. For example, the users of thecustomer client device 106 can navigate to a client's online retailwebsite to purchase goods or services from the website. While the userof the customer client device 106 is navigating the client's website onan Internet browsing application, the Internet browsing application onthe customer client device 106 can also execute a client-side script(e.g., JavaScript (.*js)) such as an experience analytics script 122. Inone example, the experience analytics script 122 is hosted on thethird-party server 108 with the client's website and processed by theInternet browsing application on the customer client device 106. Theexperience analytics script 122 can incorporate a scripting language(e.g., a .*js file or a .json file).

In certain examples, a client's native application (e.g., ANDROID™ orIOS™ Application) is downloaded on the customer client device 106. Inthis example, the client's native application including the experienceanalytics script 122 is programmed in JavaScript leveraging a SoftwareDevelopment Kit (SDK) provided by the experience analytics server system124. The SDK includes Application Programming Interfaces (APIs) withfunctions that can be called or invoked by the client's nativeapplication.

In one example, the experience analytics script 122 records dataincluding the changes in the interface of the website being displayed onthe customer client device 106, the elements on the website beingdisplayed or visible on the interface of the customer client device 106,the text inputs by the user into the website, a movement of a mouse (ortouchpad or touch screen) cursor and mouse (or touchpad or touch screen)clicks on the interface of the website, etc. The experience analyticsscript 122 transmits the data to experience analytics server system 124via the network 110. In another example, the experience analytics script122 transmits the data to the third-party server 108 and the data can betransmitted from the third-party server 108 to the experience analyticsserver system 124 via the network 110.

An experience analytics client 104 is able to communicate and exchangedata with the experience analytics server system 124 via the network110. The data exchanged between the experience analytics client 104 andthe experience analytics server system 124, includes functions (e.g.,commands to invoke functions) as well as payload data (e.g., websitedata, texts reporting errors, insights, merchandising information,adaptability information, images, graphs providing visualizations ofexperience analytics, session replay videos, zoning and overlays to beapplied on the website, etc.).

The experience analytics server system 124 supports various services andoperations that are provided to the experience analytics client 104.Such operations include transmitting data to and receiving data from theexperience analytics client 104. Data exchanges to and from theexperience analytics server system 124 are invoked and controlledthrough functions available via user interfaces (UIs) of the experienceanalytics client 104.

The experience analytics server system 124 provides server-sidefunctionality via the network 110 to a particular experience analyticsclient 104. While certain functions of the experience analytics system100 are described herein as being performed by either an experienceanalytics client 104 or by the experience analytics server system 124,the location of certain functionality either within the experienceanalytics client 104 or the experience analytics server system 124 maybe a design choice. For example, it may be technically preferable toinitially deploy certain technology and functionality within theexperience analytics server system 124 but to later migrate thistechnology and functionality to the experience analytics client 104where a member client device 102 has sufficient processing capacity.

Turning now specifically to the experience analytics server system 124,an Application Program Interface (API) server 114 is coupled to, andprovides a programmatic interface to, application servers 112. Theapplication servers 112 are communicatively coupled to a database server118, which facilitates access to a database 300 that stores dataassociated with experience analytics processed by the applicationservers 112. While shown as a single database 300 in FIG. 1 , it isunderstood that a plurality of databases of various storage types can beused or any combination thereof. Similarly, a web server 120 is coupledto the application servers 112, and provides web-based interfaces to theapplication servers 112. To this end, the web server 120 processesincoming network requests over the Hypertext Transfer Protocol (HTTP)and several other related protocols.

The Application Program Interface (API) server 114 receives andtransmits message data (e.g., commands and message payloads) between themember client device 102 and the application servers 112. Specifically,the Application Program Interface (API) server 114 provides a set ofinterfaces (e.g., routines and protocols) that can be called or queriedby the experience analytics client 104 or the experience analyticsscript 122 in order to invoke functionality of the application servers112. The Application Program Interface (API) server 114 exposes to theexperience analytics client 104 various functions supported by theapplication servers 112, including generating information on errors,insights, merchandising information, adaptability information, images,graphs providing visualizations of experience analytics, session replayvideos, zoning and overlays to be applied on the website, etc.

The application servers 112 host a number of server applications andsubsystems, including for example an experience analytics server 116.The experience analytics server 116 implements a number of dataprocessing technologies and functions, particularly related to theaggregation and other processing of data including the changes in theinterface of the website being displayed on the customer client device106, the elements on the website being displayed or visible on theinterface of the customer client device 106, the text inputs by the userinto the website, a movement of a mouse (or touchpad) cursor and mouse(or touchpad) clicks on the interface of the website, etc. received frommultiple instances of the experience analytics script 122 on customerclient devices 106. The experience analytics server 116 implementsprocessing technologies and functions, related to generating userinterfaces including information on errors, insights, merchandisinginformation, adaptability information, images, graphs providingvisualizations of experience analytics, session replay videos, zoningand overlays to be applied on the website, etc. Other processor andmemory intensive processing of data may also be performed server-side bythe experience analytics server 116, in view of the hardwarerequirements for such processing.

System Architecture

FIG. 2 is a block diagram illustrating further details regarding theexperience analytics system 100 according to some examples.Specifically, the experience analytics system 100 is shown to comprisethe experience analytics client 104 and the experience analytics server116. The experience analytics system 100 embodies a number ofsubsystems, which are supported on the client-side by the experienceanalytics client 104 and on the server-side by the experience analyticsserver 116. These subsystems include, for example, a data managementsystem 202, a data analysis system 204, a zoning system 206, a sessionreplay system 208, a journey system 210, a merchandising system 212, anadaptability system 214, an insights system 216, an errors system 218,and an application conversion system 220.

The data management system 202 is responsible for receiving functions ordata from the member client devices 102, the experience analytics script122 executed by each of the customer client devices 106, and thethird-party servers 108. The data management system 202 is alsoresponsible for exporting data to the member client devices 102 or thethird-party servers 108 or between the systems in the experienceanalytics system 100. The data management system 202 is also configuredto manage the third-party integration of the functionalities ofexperience analytics system 100.

The data analysis system 204 is responsible for analyzing the datareceived by the data management system 202, generating data tags,performing data science and data engineering processes on the data.

The zoning system 206 is responsible for generating a zoning interfaceto be displayed by the member client device 102 via the experienceanalytics client 104. The zoning interface provides a visualization ofhow the users via the customer client devices 106 interact with eachelement on the client's website. The zoning interface can also providean aggregated view of in-page behaviors by the users via the customerclient device 106 (e.g., clicks, scrolls, navigation). The zoninginterface can also provide a side-by-side view of different versions ofthe client's website for the client's analysis. For example, the zoningsystem 206 can identify the zones in a client's website that areassociated with a particular element in displayed on the website (e.g.,an icon, a text link, etc.). Each zone can be a portion of the websitebeing displayed. The zoning interface can include a view of the client'swebsite. The zoning system 206 can generate an overlay including datapertaining to each of the zones to be overlaid on the view of theclient's website. The data in the overlay can include, for example, thenumber of views or clicks associated with each zone of the client'swebsite within a period of time, which can be established by the user ofthe member client device 102. In one example, the data can be generatedusing information from the data analysis system 204.

The session replay system 208 is responsible for generating the sessionreplay interface to be displayed by the member client device 102 via theexperience analytics client 104. The session replay interface includes asession replay that is a video reconstructing an individual user'ssession (e.g., visitor session) on the client's website. The user'ssession starts when the user arrives into the client's website and endsupon the user's exit from the client's website. A user's session whenvisiting the client's website on a customer client device 106 can bereconstructed from the data received from the user's experienceanalytics script 122 on customer client devices 106. The session replayinterface can also include the session replays of a number of differentvisitor sessions to the client's website within a period of time (e.g.,a week, a month, a quarter, etc.). The session replay interface allowsthe client via the member client device 102 to select and view each ofthe session replays. In one example, the session replay interface canalso include an identification of events (e.g., failed conversions,angry customers, errors in the website, recommendations or insights)that are displayed and allow the user to navigate to the part in thesession replay corresponding to the events such that the client can viewand analyze the event.

The journey system 210 is responsible for generating the journeyinterface to be displayed by the member client device 102 via theexperience analytics client 104. The journey interface includes avisualization of how the visitors progress through the client's website,page-by-page, from entry onto the website to the exit (e.g., in asession). The journey interface can include a visualization thatprovides a customer journey mapping (e.g., sunburst visualization). Thisvisualization aggregates the data from all of the visitors (e.g., userson different customer client devices 106) to the website and illustratesthe visited pages in the order in which the pages were visited. Theclient viewing the journey interface on the member client device 102 canidentify anomalies such as looping behaviors and unexpected drop-offs.The client viewing the journey interface can also assess the reversejourneys (e.g., pages visitors viewed before arriving at a particularpage). The journey interface also allows the client to select a specificsegment of the visitors to be displayed in the visualization of thecustomer journey.

The merchandising system 212 is responsible for generating themerchandising interface to be displayed by the member client device 102via the experience analytics client 104. The merchandising interfaceincludes merchandising analysis that provides the client with analyticson: the merchandise to be promoted on the website, optimization of salesperformance, the items in the client's product catalog on a granularlevel, competitor pricing, etc. The merchandising interface can, forexample, comprise graphical data visualization pertaining to productopportunities, category, brand performance, etc. For instance, themerchandising interface can include the analytics on conversions (e.g.,sales, revenue) associated with a placement or zone in the clientwebsite.

The adaptability system 214 is responsible for creating accessibledigital experiences for the client's website to be displayed by thecustomer client devices 106 for users that would benefit from anaccessibility-enhanced version of the client's website. For instance,the adaptability system 214 can improve the digital experience for userswith disabilities, such as visual impairments, cognitive disorders,dyslexia, and age-related needs. The adaptability system 214 can, withproper user permissions, analyze the data from the experience analyticsscript 122 to determine whether an accessibility-enhanced version of theclient's website is needed, and can generate the accessibility-enhancedversion of the client's website to be displayed by the customer clientdevice 106.

The errors system 218 is responsible for analyzing the data from thedata management system 202 and the data analysis system 204 to identifyerrors that are affecting the visitors to the client's website and theimpact of the errors on the client's business (e.g., revenue loss). Theerrors can include the location within the user journey in the websiteand the page that adversely affects (e.g., causes frustration for) theusers (e.g., users on customer client devices 106 visiting the client'swebsite). The errors can also include causes of looping behaviors by theusers, in-page issues such as unresponsive calls to action and slowloading pages, etc. The errors can be displayed by the member clientdevices 102 via the experience analytics client 104 on a dashboard of auser interface, as a pop-up element, as a separate panel, etc. In thisexample, the errors system 218 is responsible for generating an errorsinterface to be displayed by the member client device 102 via theexperience analytics client 104. In another example, the insights can beincorporated in another interface such as the zoning interface, thesession replay, the journey interface, or the merchandising interface tobe displayed by the member client device 102.

The insights system 216 is responsible for analyzing the data from thedata management system 202 and the data analysis system 204 surfaceinsights that include opportunities as well as issues that are relatedto the client's website. The insights can also include alerts thatnotify the client of deviations from a client's normal business metrics.The insights can be displayed by the member client devices 102 via theexperience analytics client 104 on a dashboard of a user interface, as apop-up element, as a separate panel, etc. In this example, the insightssystem 216 is responsible for generating an insights interface to bedisplayed by the member client device 102 via the experience analyticsclient 104. In another example, the insights can be incorporated inanother interface such as the zoning interface, the session replay, thejourney interface, or the merchandising interface to be displayed by themember client device 102.

In another example, the insights system 216 includes a real-timealerting system that generates the real-time alerts using the data fromthe data management system 202, the data from the errors system 218, orany combination thereof. The insights system 216 can also identify thesession experience indicators, page view experience indicators and zoneexperience indicators using the data from the data management system202.

The application conversion system 220 is responsible for the conversionof the functionalities of the experience analytics server 116 asprovided to a client's website to a client's native mobile applications.For instance, the application conversion system 220 generates the mobileapplication version of the zoning interface, the session replay, thejourney interface, the merchandising interface, the insights interface,and the errors interface to be displayed by the member client device 102via the experience analytics client 104. The application conversionsystem 220 generates an accessibility-enhanced version of the client'smobile application to be displayed by the customer client devices 106.

Data Architecture

FIG. 3 is a schematic diagram illustrating database 300, which may bestored in the database 300 of the experience analytics server 116,according to certain examples. While the content of the database 300 isshown to comprise a number of tables, it will be appreciated that thedata could be stored in other types of data structures (e.g., as anobject-oriented database). Further, while FIG. 3 shows as a singledatabase 300, it is understood that a plurality of databases of variousstorage types can be used or any combination thereof.

The database 300 includes a data table 302, a session table 304, azoning table 306, an error table 310, an insights table 312, amerchandising table 314, and a journeys table 308.

The data table 302 stores data regarding the websites and nativeapplications associated with the clients of the experience analyticssystem 100. The data table 302 can store information on the contents ofthe website or the native application, the changes in the interface ofthe website being displayed on the customer client device 106, theelements on the website being displayed or visible on the interface ofthe customer client device 106, the text inputs by the user into thewebsite, a movement of a mouse (or touchpad or touch screen) cursor andmouse (or touchpad or touch screen) clicks on the interface of thewebsite, etc. The data table 302 can also store data tags and results ofdata science and data engineering processes on the data. The data table302 can also store information such as the font, the images, the videos,the native scripts in the website or applications, etc.

The session table 304 stores session replays for each of the client'swebsites and native applications.

The zoning table 306 stores data related to the zoning for each of theclient's websites and native applications including the zones to becreated and the zoning overlay associated with the websites and nativeapplications.

The journeys table 308 stores data related to the journey of eachvisitor to the client's website or through the native application.

The error table 310 stores data related to the errors generated by theerrors system 218 and the insights table 312 stores data related to theinsights generated by the insights system 216. For example, the insightstable 312 can store frustration scores that are generated at the end ofeach session. The insights table 312 can also store page view scores,average page view scores, session scores, and website scores. Theinsights table 312 can store session experience indicators, page viewexperience indicators and zone experience indicators. Session experienceindicators include looping behavior which is identified when a userviewed the same webpage during a session multiple times (e.g., exceeds apredetermined number of visits). Session experience indicators can alsoinclude a view consumption ratio which is based on the proportion of thewebpages viewed by a user during a session for less than a predeterminedminimum time threshold (e.g., less than 2 seconds). Weights can also bestored in the insights table 312 and associated with each of the sessionexperience indicators in the computation of the session score. Page viewexperience indicators and zone experience indicators can include a rageclick which can be a predetermined number of repeated clicks in lessthan a minimum threshold of time (e.g., 3 repeated clicks in less thantwo seconds), a predetermined number of repeated interactions with anelement, a field, or a button displayed on the webpages (e.g., more than3-5 interactions), no clicks on one of the plurality of webpagesdisplayed, a cursor hovering more than a predetermined number of timesover an element of a webpage (e.g., more than 5 hovers over the sameelement), an error displayed during the session (e.g., any JavaScripterror), detecting that the error is displayed after a click (e.g., lessthan 2 seconds after the click), a loading time (e.g., 2-7 seconds),etc. The insights table 312 can also store predetermined maximum valuesfor each of the page view experience indicators and zone experienceindicators. The insights table 312 can store aggregated frustrationsscores for a number of users from which an insight can be generated andstored. For example, if a significant number of users are shown toexperience a high level of frustration on the checkout webpage, aninsight can be generated (e.g., check out page bugs causing frustrationand loss of conversion).

The merchandising table 314 stores data associated with themerchandising system 212. For example, the data in the merchandisingtable 314 can include the product catalog for each of the clients,information on the competitors of each of the clients, the dataassociated with the products on the websites and applications, theanalytics on the product opportunities and the performance of theproducts based on the zones in the website or application, etc.

Process of Generating a Real-Time Alert

Although the described flowcharts can show operations as a sequentialprocess, many of the operations can be performed in parallel orconcurrently. In addition, the order of the operations may bere-arranged. A process is terminated when its operations are completed.A process may correspond to a method, a procedure, an algorithm, etc.The operations of methods may be performed in whole or in part, may beperformed in conjunction with some or all of the operations in othermethods, and may be performed by any number of different systems, suchas the systems described herein, or any portion thereof, such as aprocessor included in any of the systems.

FIG. 4 is a flowchart for a process 400 of generating real-time alerts,in accordance with some examples. The process 400 can be performed by aprocessor included in the insights system 216, in any system in theexperience analytics system 100, or any combination thereof.

In operation 402, the processor receives from a plurality of clientdevices user activity data associated with interactions by a pluralityof users with a website displayed on the plurality of client devices.For example, the user activity data comprises changes in an interface ofthe website displayed on the plurality of client devices, elements onthe website displayed or visible on the interface displayed on theplurality of client devices, text inputs by the users into the websitedisplayed on the plurality of client devices, a movement of cursor of amouse, touchpad or touch screen, a click or activation of the mouse, thetouchpad or the touch screen on the interface of the website, or anycombination thereof.

The website can comprise a plurality of webpages displayed during aplurality of sessions. Each of the plurality of sessions comprises atimeframe between an entry by a user of the plurality of users into thewebsite and an exit by the user from the website. For example, a sessioncan start when a user enters a website and can end when the user exitsthe website.

In operation 404, the processor identifies, based on the user activitydata, a plurality of user experience indicators. In one example, theuser experience indicators can include session experience indicators,page view experience indicators, and zone experience indicators. Theprocessor can identify, based on the user activity data, sessionexperience indicators, page view experience indicators, and zoneexperience indicators.

In one example, the processor identifying the session experienceindicators comprises the processor identifying a looping behavior byidentifying that a number of times that the user viewed a same webpageexceeds a predetermined visit threshold. In another example, theprocessor identifying the session experience indicators comprises theprocessor identifying a proportion of the webpages that is viewed forless than a predetermined minimum time threshold.

The processor identifying the page view experience indicators and thezone experience indicators can comprise the processor detecting a rageclick comprising a predetermined number of repeated clicks in less thana minimum threshold of time, detecting a predetermined number ofrepeated interactions with an element, a field, or a button displayed onthe webpages, detecting no clicks on one of the plurality of webpagesdisplayed, detecting that a cursor is hovering more than a predeterminednumber of times over an element of one of the plurality of webpages,detecting an error is displayed during the session, detecting that theerror is displayed after a click, detecting a loading time that exceedsa predetermined amount of time, or any combination thereof.

In operation 406, the processor identifies, based on the user experienceindicators, an error on the website.

In operation 408, the processor generates, based on the user experienceindicators or the error on the website, an insight associated with thewebsite.

In operation 410, the processor causes a real-time alert to be displayedon a display device. The real-time alert includes, for example, theerror or the insight, and a selectable item to cause a visualization ofinteractions (e.g., session replay) by one of the users with the websiteduring one of the sessions associated with the error or the insight tobe displayed. The visualization of interactions by the one of the userswith the website is generated based on the user activity data.

The real-time alerts being generated can be associated with alerts basedon a user activity metric (e.g., rage clicks, looping behavior, etc.),alerts on a webpage-level or a zone-level within a given webpage. Thereal-time alerts can be associated with manual alerts set by a client oran automatic alert that is generated by the insights system 216, withoutthe need for a manual setting by the client. Instead, the automaticalert is generated by the insights system 216 based on an analysis ofdata from the data management system 202, the data analysis system 204,the errors system 218, or any combination thereof. The insights system216 may implement artificial intelligence, neural networks, dataprocessing, or any combination thereof to generate the automatic alerts.

In one example, upon receiving an activation of the selectable item fromthe display device, the processor causes a user interface to bedisplayed on the display device that comprises the visualization ofinteractions by the one of the users with the website during the one ofthe sessions associated with the error or the insight to be displayed.

By viewing the visualization of the interactions (e.g., session replay)with the website having the error or the insight, the agent of theclient or business (e.g., a web administrator, an employee, etc.) canidentify the website elements that are causing frictions.

To cause the real-time alert to be displayed on a display device, theprocessor can generate an electronic communication that includes thereal-time alert. For example, the electronic communication can be anemail, a short message service (SMS), a chat message within a messageservice system, or any combination thereof. The message service systemcan be a third-party system such as Teams, Slack, Jira, etc.

In one example, the real-time alerts can be generated and caused to bedisplayed by the display device within 5 minutes or less of theidentification of the error or the generation of the insight. In anotherexample, the real-time alerts can be generated within 15 minutes or lessof the identification of the error or the generation of the insight.

With hundreds of thousands of interactions happening every second, allover a website, the clients are susceptible to unexpected events orerrors that are invisible to them and can greatly impact their business.The real-time alerting system can detect any unexpected activity orimpactful incidents on customer's digital properties and timely warnsthe clients on any channel of their choice (e.g., email, SMS, chat,third-party system, etc.) as well as further guides them through theirnext actions to quickly address the errors or issue with their websites.

Machine Architecture

FIG. 5 is a diagrammatic representation of the machine 500 within whichinstructions 510 (e.g., software, a program, an application, an applet,an application, or other executable code) for causing the machine 500 toperform any one or more of the methodologies discussed herein may beexecuted. For example, the instructions 510 may cause the machine 500 toexecute any one or more of the methods described herein. Theinstructions 510 transform the general, non-programmed machine 500 intoa particular machine 500 programmed to carry out the described andillustrated functions in the manner described. The machine 500 mayoperate as a standalone device or may be coupled (e.g., networked) toother machines. In a networked deployment, the machine 500 may operatein the capacity of a server machine or a client machine in aserver-client network environment, or as a peer machine in apeer-to-peer (or distributed) network environment. The machine 500 maycomprise, but not be limited to, a server computer, a client computer, apersonal computer (PC), a tablet computer, a laptop computer, a netbook,a set-top box (STB), a personal digital assistant (PDA), anentertainment media system, a cellular telephone, a smartphone, a mobiledevice, a wearable device (e.g., a smartwatch), a smart home device(e.g., a smart appliance), other smart devices, a web appliance, anetwork router, a network switch, a network bridge, or any machinecapable of executing the instructions 510, sequentially or otherwise,that specify actions to be taken by the machine 500. Further, while onlya single machine 500 is illustrated, the term “machine” shall also betaken to include a collection of machines that individually or jointlyexecute the instructions 510 to perform any one or more of themethodologies discussed herein. The machine 500, for example, maycomprise the member client device 102 or any one of a number of serverdevices forming part of the experience analytics server 116. In someexamples, the machine 500 may also comprise both client and serversystems, with certain operations of a particular method or algorithmbeing performed on the server-side and with certain operations of theparticular method or algorithm being performed on the client-side.

The machine 500 may include processors 504, memory 506, and input/outputI/O components 502, which may be configured to communicate with eachother via a bus 540. In an example, the processors 504 (e.g., a CentralProcessing Unit (CPU), a Reduced Instruction Set Computing (RISC)Processor, a Complex Instruction Set Computing (CISC) Processor, aGraphics Processing Unit (GPU), a Digital Signal Processor (DSP), anApplication Specific Integrated Circuit (ASIC), a Radio-FrequencyIntegrated Circuit (RFIC), another processor, or any suitablecombination thereof) may include, for example, a processor 508 and aprocessor 512 that execute the instructions 510. The term “processor” isintended to include multi-core processors that may comprise two or moreindependent processors (sometimes referred to as “cores”) that mayexecute instructions contemporaneously. Although FIG. 5 shows multipleprocessors 504, the machine 500 may include a single processor with asingle-core, a single processor with multiple cores (e.g., a multi-coreprocessor), multiple processors with a single core, multiple processorswith multiples cores, or any combination thereof.

The memory 506 includes a main memory 514, a static memory 516, and astorage unit 518, both accessible to the processors 504 via the bus 540.The main memory 506, the static memory 516, and storage unit 518 storethe instructions 510 embodying any one or more of the methodologies orfunctions described herein. The instructions 510 may also reside,completely or partially, within the main memory 514, within the staticmemory 516, within machine-readable medium 520 within the storage unit518, within at least one of the processors 504 (e.g., within theprocessor's cache memory), or any suitable combination thereof, duringexecution thereof by the machine 500.

The I/O components 502 may include a wide variety of components toreceive input, provide output, produce output, transmit information,exchange information, capture measurements, and so on. The specific I/Ocomponents 502 that are included in a particular machine will depend onthe type of machine. For example, portable machines such as mobilephones may include a touch input device or other such input mechanisms,while a headless server machine will likely not include such a touchinput device. It will be appreciated that the I/O components 502 mayinclude many other components that are not shown in FIG. 5 . In variousexamples, the I/O components 502 may include user output components 526and user input components 528. The user output components 526 mayinclude visual components (e.g., a display such as a plasma displaypanel (PDP), a light-emitting diode (LED) display, a liquid crystaldisplay (LCD), a projector, or a cathode ray tube (CRT)), acousticcomponents (e.g., speakers), haptic components (e.g., a vibratory motor,resistance mechanisms), other signal generators, and so forth. The userinput components 528 may include alphanumeric input components (e.g., akeyboard, a touch screen configured to receive alphanumeric input, aphoto-optical keyboard, or other alphanumeric input components),point-based input components (e.g., a mouse, a touchpad, a trackball, ajoystick, a motion sensor, or another pointing instrument), tactileinput components (e.g., a physical button, a touch screen that provideslocation and force of touches or touch gestures, or other tactile inputcomponents), audio input components (e.g., a microphone), and the like.

In further examples, the I/O components 502 may include biometriccomponents 530, motion components 532, environmental components 534, orposition components 536, among a wide array of other components. Forexample, the biometric components 530 include components to detectexpressions (e.g., hand expressions, facial expressions, vocalexpressions, body gestures, or eye-tracking), measure biosignals (e.g.,blood pressure, heart rate, body temperature, perspiration, or brainwaves), identify a person (e.g., voice identification, retinalidentification, facial identification, fingerprint identification, orelectroencephalogram-based identification), and the like. The motioncomponents 532 include acceleration sensor components (e.g.,accelerometer), gravitation sensor components, rotation sensorcomponents (e.g., gyroscope).

The environmental components 534 include, for example, one or cameras(with still image/photograph and video capabilities), illuminationsensor components (e.g., photometer), temperature sensor components(e.g., one or more thermometers that detect ambient temperature),humidity sensor components, pressure sensor components (e.g.,barometer), acoustic sensor components (e.g., one or more microphonesthat detect background noise), proximity sensor components (e.g.,infrared sensors that detect nearby objects), gas sensors (e.g., gasdetection sensors to detection concentrations of hazardous gases forsafety or to measure pollutants in the atmosphere), or other componentsthat may provide indications, measurements, or signals corresponding toa surrounding physical environment.

With respect to cameras, the member client device 102 may have a camerasystem comprising, for example, front cameras on a front surface of themember client device 102 and rear cameras on a rear surface of themember client device 102. The front cameras may, for example, be used tocapture still images and video of a user of the member client device 102(e.g., “selfies”). The rear cameras may, for example, be used to capturestill images and videos in a more traditional camera mode. In additionto front and rear cameras, the member client device 102 may also includea 360° camera for capturing 360° photographs and videos.

Further, the camera system of a member client device 102 may includedual rear cameras (e.g., a primary camera as well as a depth-sensingcamera), or even triple, quad or penta rear camera configurations on thefront and rear sides of the member client device 102. These multiplecameras systems may include a wide camera, an ultra-wide camera, atelephoto camera, a macro camera and a depth sensor, for example.

The position components 536 include location sensor components (e.g., aGPS receiver component), altitude sensor components (e.g., altimeters orbarometers that detect air pressure from which altitude may be derived),orientation sensor components (e.g., magnetometers), and the like.

Communication may be implemented using a wide variety of technologies.The I/O components 502 further include communication components 538operable to couple the machine 500 to a network 522 or devices 524 viarespective coupling or connections. For example, the communicationcomponents 538 may include a network interface component or anothersuitable device to interface with the network 522. In further examples,the communication components 538 may include wired communicationcomponents, wireless communication components, cellular communicationcomponents, Near Field Communication (NFC) components, Bluetooth®components (e.g., Bluetooth® Low Energy), Wi-Fi® components, and othercommunication components to provide communication via other modalities.The devices 524 may be another machine or any of a wide variety ofperipheral devices (e.g., a peripheral device coupled via a USB).

Moreover, the communication components 538 may detect identifiers orinclude components operable to detect identifiers. For example, thecommunication components 538 may include Radio Frequency Identification(RFID) tag reader components, NFC smart tag detection components,optical reader components (e.g., an optical sensor to detectone-dimensional bar codes such as Universal Product Code (UPC) bar code,multi-dimensional bar codes such as Quick Response (QR) code, Azteccode, Data Matrix, Dataglyph, MaxiCode, PDF417, Ultra Code, UCC RSS-2Dbar code, and other optical codes), or acoustic detection components(e.g., microphones to identify tagged audio signals). In addition, avariety of information may be derived via the communication components538, such as location via Internet Protocol (IP) geolocation, locationvia Wi-Fi® signal triangulation, location via detecting an NFC beaconsignal that may indicate a particular location, and so forth.

The various memories (e.g., main memory 514, static memory 516, andmemory of the processors 504) and storage unit 518 may store one or moresets of instructions and data structures (e.g., software) embodying orused by any one or more of the methodologies or functions describedherein. These instructions (e.g., the instructions 510), when executedby processors 504, cause various operations to implement the disclosedexamples.

The instructions 510 may be transmitted or received over the network522, using a transmission medium, via a network interface device (e.g.,a network interface component included in the communication components538) and using any one of several well-known transfer protocols (e.g.,hypertext transfer protocol (HTTP)). Similarly, the instructions 510 maybe transmitted or received using a transmission medium via a coupling(e.g., a peer-to-peer coupling) to the devices 524.

Software Architecture

FIG. 6 is a block diagram 600 illustrating a software architecture 604,which can be installed on any one or more of the devices describedherein. The software architecture 604 is supported by hardware such as amachine 602 that includes processors 620, memory 626, and I/O components638. In this example, the software architecture 604 can beconceptualized as a stack of layers, where each layer provides aparticular functionality. The software architecture 604 includes layerssuch as an operating system 612, libraries 610, frameworks 608, andapplications 606. Operationally, the applications 606 invoke API calls650 through the software stack and receive messages 652 in response tothe API calls 650.

The operating system 612 manages hardware resources and provides commonservices. The operating system 612 includes, for example, a kernel 614,services 616, and drivers 622. The kernel 614 acts as an abstractionlayer between the hardware and the other software layers. For example,the kernel 614 provides memory management, processor management (e.g.,scheduling), component management, networking, and security settings,among other functionalities. The services 616 can provide other commonservices for the other software layers. The drivers 622 are responsiblefor controlling or interfacing with the underlying hardware. Forinstance, the drivers 622 can include display drivers, camera drivers,BLUETOOTH® or BLUETOOTH® Low Energy drivers, flash memory drivers,serial communication drivers (e.g., USB drivers), WI-FI® drivers, audiodrivers, power management drivers, and so forth.

The libraries 610 provide a common low-level infrastructure used by theapplications 606. The libraries 610 can include system libraries 618(e.g., C standard library) that provide functions such as memoryallocation functions, string manipulation functions, mathematicfunctions, and the like. In addition, the libraries 610 can include APIlibraries 624 such as media libraries (e.g., libraries to supportpresentation and manipulation of various media formats such as MovingPicture Experts Group-4 (MPEG4), Advanced Video Coding (H.264 or AVC),Moving Picture Experts Group Layer-3 (MP3), Advanced Audio Coding (AAC),Adaptive Multi-Rate (AMR) audio codec, Joint Photographic Experts Group(JPEG or JPG), or Portable Network Graphics (PNG)), graphics libraries(e.g., an OpenGL framework used to render in two dimensions (2D) andthree dimensions (3D) in a graphic content on a display), databaselibraries (e.g., SQLite to provide various relational databasefunctions), web libraries (e.g., WebKit to provide web browsingfunctionality), and the like. The libraries 610 can also include a widevariety of other libraries 628 to provide many other APIs to theapplications 606.

The frameworks 608 provide a common high-level infrastructure that isused by the applications 606. For example, the frameworks 608 providevarious graphical user interface (GUI) functions, high-level resourcemanagement, and high-level location services. The frameworks 608 canprovide a broad spectrum of other APIs that can be used by theapplications 606, some of which may be specific to a particularoperating system or platform.

In an example, the applications 606 may include a home application 636,a contacts application 630, a browser application 632, a book readerapplication 634, a location application 642, a media application 644, amessaging application 646, a game application 648, and a broadassortment of other applications such as a third-party application 640.The applications 606 are programs that execute functions defined in theprograms. Various programming languages can be employed to create one ormore of the applications 606, structured in a variety of manners, suchas object-oriented programming languages (e.g., Objective-C, Java, orC++) or procedural programming languages (e.g., C or assembly language).In a specific example, the third-party application 640 (e.g., anapplication developed using the ANDROID™ or IOS™ software developmentkit (SDK) by an entity other than the vendor of the particular platform)may be mobile software running on a mobile operating system such asIOS™, ANDROID™, WINDOWS® Phone, or another mobile operating system. Inthis example, the third-party application 640 can invoke the API calls650 provided by the operating system 612 to facilitate functionalitydescribed herein.

Glossary

“Carrier signal” refers to any intangible medium that is capable ofstoring, encoding, or carrying instructions for execution by themachine, and includes digital or analog communications signals or otherintangible media to facilitate communication of such instructions.Instructions may be transmitted or received over a network using atransmission medium via a network interface device.

“Client device” refers to any machine that interfaces to acommunications network to obtain resources from one or more serversystems or other client devices. A client device may be, but is notlimited to, a mobile phone, desktop computer, laptop, portable digitalassistants (PDAs), smartphones, tablets, ultrabooks, netbooks, laptops,multi-processor systems, microprocessor-based or programmable consumerelectronics, game consoles, set-top boxes, or any other communicationdevice that a user may use to access a network.

“Communication network” refers to one or more portions of a network thatmay be an ad hoc network, an intranet, an extranet, a virtual privatenetwork (VPN), a local area network (LAN), a wireless LAN (WLAN), a widearea network (WAN), a wireless WAN (WWAN), a metropolitan area network(MAN), the Internet, a portion of the Internet, a portion of the PublicSwitched Telephone Network (PSTN), a plain old telephone service (POTS)network, a cellular telephone network, a wireless network, a Wi-Fi®network, another type of network, or a combination of two or more suchnetworks. For example, a network or a portion of a network may include awireless or cellular network and the coupling may be a Code DivisionMultiple Access (CDMA) connection, a Global System for Mobilecommunications (GSM) connection, or other types of cellular or wirelesscoupling. In this example, the coupling may implement any of a varietyof types of data transfer technology, such as Single Carrier RadioTransmission Technology (1xRTT), Evolution-Data Optimized (EVDO)technology, General Packet Radio Service (GPRS) technology, EnhancedData rates for GSM Evolution (EDGE) technology, third GenerationPartnership Project (3GPP) including 3G, fourth generation wireless (4G)networks, Universal Mobile Telecommunications System (UMTS), High SpeedPacket Access (HSPA), Worldwide Interoperability for Microwave Access(WiMAX), Long Term Evolution (LTE) standard, others defined by variousstandard-setting organizations, other long-range protocols, or otherdata transfer technology.

“Component” refers to a device, physical entity, or logic havingboundaries defined by function or subroutine calls, branch points, APIs,or other technologies that provide for the partitioning ormodularization of particular processing or control functions. Componentsmay be combined via their interfaces with other components to carry outa machine process. A component may be a packaged functional hardwareunit designed for use with other components and a part of a program thatusually performs a particular function of related functions. Componentsmay constitute either software components (e.g., code embodied on amachine-readable medium) or hardware components. A “hardware component”is a tangible unit capable of performing certain operations and may beconfigured or arranged in a certain physical manner. In variousexamples, one or more computer systems (e.g., a standalone computersystem, a client computer system, or a server computer system) or one ormore hardware components of a computer system (e.g., a processor or agroup of processors) may be configured by software (e.g., an applicationor application portion) as a hardware component that operates to performcertain operations as described herein. A hardware component may also beimplemented mechanically, electronically, or any suitable combinationthereof. For example, a hardware component may include dedicatedcircuitry or logic that is permanently configured to perform certainoperations. A hardware component may be a special-purpose processor,such as a field-programmable gate array (FPGA) or an applicationspecific integrated circuit (ASIC). A hardware component may alsoinclude programmable logic or circuitry that is temporarily configuredby software to perform certain operations. For example, a hardwarecomponent may include software executed by a general-purpose processoror other programmable processor. Once configured by such software,hardware components become specific machines (or specific components ofa machine) uniquely tailored to perform the configured functions and areno longer general-purpose processors. It will be appreciated that thedecision to implement a hardware component mechanically, in dedicatedand permanently configured circuitry, or in temporarily configuredcircuitry (e.g., configured by software), may be driven by cost and timeconsiderations. Accordingly, the phrase “hardware component”(or“hardware-implemented component”) should be understood to encompass atangible entity, be that an entity that is physically constructed,permanently configured (e.g., hardwired), or temporarily configured(e.g., programmed) to operate in a certain manner or to perform certainoperations described herein. Considering examples in which hardwarecomponents are temporarily configured (e.g., programmed), each of thehardware components need not be configured or instantiated at any oneinstance in time. For example, where a hardware component comprises ageneral-purpose processor configured by software to become aspecial-purpose processor, the general-purpose processor may beconfigured as respectively different special-purpose processors (e.g.,comprising different hardware components) at different times. Softwareaccordingly configures a particular processor or processors, forexample, to constitute a particular hardware component at one instanceof time and to constitute a different hardware component at a differentinstance of time. Hardware components can provide information to, andreceive information from, other hardware components. Accordingly, thedescribed hardware components may be regarded as being communicativelycoupled. Where multiple hardware components exist contemporaneously,communications may be achieved through signal transmission (e.g., overappropriate circuits and buses) between or among two or more of thehardware components. In examples in which multiple hardware componentsare configured or instantiated at different times, communicationsbetween such hardware components may be achieved, for example, throughthe storage and retrieval of information in memory structures to whichthe multiple hardware components have access. For example, one hardwarecomponent may perform an operation and store the output of thatoperation in a memory device to which it is communicatively coupled. Afurther hardware component may then, at a later time, access the memorydevice to retrieve and process the stored output. Hardware componentsmay also initiate communications with input or output devices, and canoperate on a resource (e.g., a collection of information). The variousoperations of example methods described herein may be performed, atleast partially, by one or more processors that are temporarilyconfigured (e.g., by software) or permanently configured to perform therelevant operations. Whether temporarily or permanently configured, suchprocessors may constitute processor-implemented components that operateto perform one or more operations or functions described herein. As usedherein, “processor-implemented component” refers to a hardware componentimplemented using one or more processors. Similarly, the methodsdescribed herein may be at least partially processor-implemented, with aparticular processor or processors being an example of hardware. Forexample, at least some of the operations of a method may be performed byone or more processors or processor-implemented components. Moreover,the one or more processors may also operate to support performance ofthe relevant operations in a “cloud computing” environment or as a“software as a service” (SaaS). For example, at least some of theoperations may be performed by a group of computers (as examples ofmachines including processors), with these operations being accessiblevia a network (e.g., the Internet) and via one or more appropriateinterfaces (e.g., an API). The performance of certain of the operationsmay be distributed among the processors, not only residing within asingle machine, but deployed across a number of machines. In someexamples, the processors or processor-implemented components may belocated in a single geographic location (e.g., within a homeenvironment, an office environment, or a server farm). In otherexamples, the processors or processor-implemented components may bedistributed across a number of geographic locations.

“Computer-readable storage medium” refers to both machine-storage mediaand transmission media. Thus, the terms include both storagedevices/media and carrier waves/modulated data signals. The terms“machine-readable medium,” “computer-readable medium” and“device-readable medium” mean the same thing and may be usedinterchangeably in this disclosure.

“Ephemeral message” refers to a message that is accessible for atime-limited duration. An ephemeral message may be a text, an image, avideo and the like. The access time for the ephemeral message may be setby the message sender. Alternatively, the access time may be a defaultsetting or a setting specified by the recipient. Regardless of thesetting technique, the message is transitory.

“Machine storage medium” refers to a single or multiple storage devicesand media (e.g., a centralized or distributed database, and associatedcaches and servers) that store executable instructions, routines anddata. The term shall accordingly be taken to include, but not be limitedto, solid-state memories, and optical and magnetic media, includingmemory internal or external to processors. Specific examples ofmachine-storage media, computer-storage media and device-storage mediainclude non-volatile memory, including by way of example semiconductormemory devices, e.g., erasable programmable read-only memory (EPROM),electrically erasable programmable read-only memory (EEPROM), FPGA, andflash memory devices; magnetic disks such as internal hard disks andremovable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks Theterms “machine-storage medium,” “device-storage medium,”“computer-storage medium” mean the same thing and may be usedinterchangeably in this disclosure. The terms “machine-storage media,”“computer-storage media,” and “device-storage media” specificallyexclude carrier waves, modulated data signals, and other such media, atleast some of which are covered under the term “signal medium.”

“Non-transitory computer-readable storage medium” refers to a tangiblemedium that is capable of storing, encoding, or carrying theinstructions for execution by a machine.

“Signal medium” refers to any intangible medium that is capable ofstoring, encoding, or carrying the instructions for execution by amachine and includes digital or analog communications signals or otherintangible media to facilitate communication of software or data. Theterm “signal medium” shall be taken to include any form of a modulateddata signal, carrier wave, and so forth. The term “modulated datasignal” means a signal that has one or more of its characteristics setor changed in such a matter as to encode information in the signal. Theterms “transmission medium” and “signal medium” mean the same thing andmay be used interchangeably in this disclosure.

What is claimed is:
 1. A method comprising: receiving, by a processorfrom a plurality of client devices, user activity data associated withinteractions by a plurality of users with a website displayed on theplurality of client devices, wherein the website comprises a pluralityof webpages displayed during a plurality of sessions; identifying, basedon the user activity data, a plurality of user experience indicators;identifying, based on the user experience indicators, an error on thewebsite; generating, based on the user experience indicators or theerror on the website, an insight associated with the website; andcausing a real-time alert to be displayed on a display device, whereinthe real-time alert comprises the error or the insight, and a selectableitem to cause a visualization of interactions by one of the users withthe website during one of the sessions associated with the error or theinsight to be displayed, wherein the visualization of interactions bythe one of the users with the website is generated based on the useractivity data.
 2. The method of claim 1, wherein each of the pluralityof sessions comprises a timeframe between an entry by a user of theplurality of users into the website and an exit by the user from thewebsite.
 3. The method of claim 1, wherein identifying the plurality ofuser experience indicators includes identifying session experienceindicators, page view experience indicators, and zone experienceindicators.
 4. The method of claim 3, wherein identifying the sessionexperience indicators comprises identifying a looping behavior byidentifying that a number of times that the user viewed a same webpageof the plurality of webpages exceeds a predetermined visit threshold. 5.The method of claim 3, wherein identifying the session experienceindicators comprises identifying a proportion of the webpages viewed forless than a predetermined minimum time threshold.
 6. The method of claim3, wherein identifying the page view experience indicators and the zoneexperience indicators comprises: detecting a rage click comprising apredetermined number of repeated clicks in less than a minimum thresholdof time, detecting a predetermined number of repeated interactions withan element, a field, or a button displayed on the webpages, detecting noclicks on one of the plurality of webpages displayed, detecting that acursor is hovering more than a predetermined number of times over anelement of one of the plurality of webpages, detecting an error isdisplayed during the session, detecting that the error is displayedafter a click, detecting a loading time, or any combination thereof. 7.The method of claim 1, wherein the user activity data comprises changesin an interface of the website displayed on the plurality of clientdevices, elements on the website displayed or visible on the interfacedisplayed on the plurality of client devices, text inputs by the usersinto the website displayed on the plurality of client devices, amovement of cursor of a mouse, touchpad or touch screen, a click oractivation of the mouse, the touchpad or the touch screen on theinterface of the website, or any combination thereof.
 8. The method ofclaim 1, further comprising: upon receiving an activation of theselectable item from the display device, causing a user interface to bedisplayed on the display device that comprises the visualization ofinteractions by the one of the users with the website during the one ofthe sessions associated with the error or the insight.
 9. The method ofclaim 1, wherein causing the real-time alert to be displayed on adisplay device comprises: generating an electronic communication thatincludes the real-time alert, wherein the electronic communicationcomprises an email, a short message service (SMS), a chat message withina message service system, or any combination thereof.
 10. The method ofclaim 9, wherein the message service system is a third-party system. 11.A system comprising: a processor; and a memory storing instructionsthat, when executed by the processor, cause the system to performoperations comprising: receiving, from a plurality of client devices,user activity data associated with interactions by a plurality of userswith a website displayed on the plurality of client devices, wherein thewebsite comprises a plurality of webpages displayed during a pluralityof sessions; identifying, based on the user activity data, a pluralityof user experience indicators; identifying, based on the user experienceindicators, an error on the website; generating, based on the userexperience indicators or the error on the website, an insight associatedwith the website; and causing a real-time alert to be displayed on adisplay device, wherein the real-time alert comprises the error or theinsight, and a selectable item to cause a visualization of interactionsby one of the users with the website during one of the sessionsassociated with the error or the insight to be displayed, wherein thevisualization of interactions by the one of the users with the websiteis generated based on the user activity data.
 12. The system of claim11, wherein each of the plurality of sessions comprises a timeframebetween an entry by a user of the plurality of users into the websiteand an exit by the user from the website.
 13. The system of claim 11,wherein identifying the plurality of user experience indicators includesidentifying session experience indicators, page view experienceindicators, and zone experience indicators.
 14. The system of claim 13,wherein identifying the session experience indicators comprisesidentifying a looping behavior by identifying that a number of timesthat the user viewed a same webpage of the plurality of webpages exceedsa predetermined visit threshold.
 15. The system of claim 13, whereinidentifying the session experience indicators comprises identifying aproportion of the webpages viewed for less than a predetermined minimumtime threshold.
 16. The system of claim 13, wherein identifying the pageview experience indicators and the zone experience indicators comprises:detecting a rage click comprising a predetermined number of repeatedclicks in less than a minimum threshold of time, detecting apredetermined number of repeated interactions with an element, a field,or a button displayed on the webpages, detecting no clicks on one of theplurality of webpages displayed, detecting that a cursor is hoveringmore than a predetermined number of times over an element of one of theplurality of webpages, detecting an error is displayed during thesession, detecting that the error is displayed after a click, detectinga loading time, or any combination thereof.
 17. The system of claim 11,wherein the user activity data comprises changes in an interface of thewebsite displayed on the plurality of client devices, elements on thewebsite displayed or visible on the interface displayed on the pluralityof client devices, text inputs by the users into the website displayedon the plurality of client devices, a movement of cursor of a mouse,touchpad or touch screen, a click or activation of the mouse, thetouchpad or the touch screen on the interface of the website, or anycombination thereof.
 18. The system of claim 11, wherein the operationsfurther comprising: upon receiving an activation of the selectable itemfrom the display device, causing a user interface to be displayed on thedisplay device that comprises the visualization of interactions by theone of the users with the website during the one of the sessionsassociated with the error or the insight.
 19. The system of claim 11,wherein causing the real-time alert to be displayed on a display devicecomprises: generating an electronic communication that includes thereal-time alert, wherein the electronic communication comprises anemail, a short message service (SMS), a chat message within a messageservice system, or any combination thereof.
 20. A non-transitorycomputer-readable storage medium, the computer-readable storage mediumincluding instructions that when executed by a computer, cause thecomputer to perform operations comprising: receiving, from a pluralityof client devices, user activity data associated with interactions by aplurality of users with a website displayed on the plurality of clientdevices, wherein the website comprises a plurality of webpages displayedduring a plurality of sessions; identifying, based on the user activitydata, a plurality of user experience indicators; identifying, based onthe user experience indicators, an error on the website; generating,based on the user experience indicators or the error on the website, aninsight associated with the website; and causing a real-time alert to bedisplayed on a display device, wherein the real-time alert comprises theerror or the insight, and a selectable item to cause a visualization ofinteractions by one of the users with the website during one of thesessions associated with the error or the insight to be displayed,wherein the visualization of interactions by the one of the users withthe website is generated based on the user activity data.